Focusing on tool consolidation, asset reduction, and future centralization can significantly enhance the effectiveness and agility of business operations in the ever-evolving landscape of data-driven decision-making.
Interesting data concepts, avant-garde ideas, and the best of data content from across the web.
Datalogz has secured $5 million in funding led by GreatPoint Ventures.
As businesses continue to navigate the ever-changing landscapes of data and analytics, the ability to adapt and scale efficiently will be a key differentiator.
Data and AI provide the analytical tools, but the human element of leadership – understanding context and exercising judgment – remains essential.
BI Sprawl manifests when multiple, often overlapping BI tools, or even assets within a single tool, take root within an organization due to a lack of centralized governance.
Recognizing the subtle undertows of duplicate datasets empowers us to refine our BI practices, ensuring that our decision-making tools aren't just razor-sharp but also trustworthy.
We have designed the Datalogz Inventory Page to offer an instant panoramic view of your business intelligence environment like you've never seen before.
The Modern Data Stack isn’t just about having data tools and solutions. It’s about using them wisely, efficiently, and innovatively.
Learn how businesses can leverage advanced tools and technologies to predict future outcomes and receive actionable recommendations with prescriptive analytics in BI.
AI is reshaping business intelligence, empowering organizations to unlock the full potential of their data, but we must tread carefully to make the most of it.
Datalogz uses the activity metadata endpoints to store all activity from thirty days back to the current day. This can expand your activity log from thirty days to years.
High-quality data gives organizations the insights they need to make informed decisions, identify opportunities, and mitigate risks.